Contact

  • Department of Computer Science
  • School of Computing
  • National University of Singapore
  • Computer 1, Law Link, Singapore 117590
  • Email: li-feng AT comp.nus.edu.sg

General info

I am currently a Ph.D. Candidate in the Department of Computer Science, National University of Singapore. I was honored to join the database group in 2009, supervised by Prof. Ooi Beng Chin. From 2005 to 2009, I studied in Peking University, Beijing, China and obtained my BSc degree from the Department of Electronic Engineering and Computer Science.

Research

My research interests are mainly in cloud computing, including the storage, indexing and query processing.

Project

epiC: The goal of the epiC project is to develop an elastic, power-aware, data-intensive cloud computing platform for large-scale services. Two typical database workload types are supported in epiC: data intensive analytical jobs and online-transcations. The property of elasticity guarantees that epiC can scale up or down in a pay-as-you-go model. With this feature, epiC provides resizable computation capacity according to different users' computational requirements. To facilitate energy-aware computation and ensure effectiveness and reliability, the epiC system is designed to monitor system status and reschedule jobs where necessary.

I participate into this project and mainly focus on the query processing part.

Publications

Feng Li, M. Tamer Ozsu, Gang Chen, Beng Chin Ooi, R-Store: A Scalable Distributed System for Supporting Real-time Analytics, International Conference on Data Engineering (ICDE), 2014

Feng Li, Beng Chin Ooi, M. Tamer Ozsu, Sai Wu, Distributed Data Management Using MapReduce, ACM Computing Survey, 2014

Sudipto Das, Vivek Narasayya, Feng Li, Manoj Syamala, CPU Sharing Techniques for Performance Isolation in Multitenant Relational Database-as-a-Service, PVLDB 2014

Vivek Narasayya, Sudipto Das, Manoj Syamala, Surajit Chaudhuri, Feng Li, and Hyunjung Park, A Demonstration of SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service, in SIGMOD 2013, ACM Int'l. Conference on Management of Data (SIGMOD), 2013 (demo)

Sai Wu, Feng Li, Sharad Mehrotra, Beng Chin Ooi: Query Optimization for Massively Parallel Data Processing. ACM Symposium on Cloud Computing (SOCC). 2011.

Chun Chen, Feng Li, Beng Chin Ooi, Sai Wu: TI: An Efficient Indexing Mechanism for Real-Time Search on Tweets. ACM Int'l. Conference on Management of Data (SIGMOD), 2011.

Experiences

  • Spring,2011,2012,2013: internship in Microsoft Research Redmond
  • May.~Aug.,2010: internship in AT&TShannon Laboratory
  • Apr.~July., 2009: internship in Microsoft Research Asia
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